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Bibliographic Details

Title: Statistics: Tools for Understanding Data in the Behavioral Sciences
Publisher: Pearson College Div (edition 1st)
Publication Date: 1997
Language: English
ISBN 10: 0024227331
ISBN 13: 9780024227331
Binding: Hardcover
Edition: 1st.
Condition: Good

About this title

Synopsis

Statistics: Tools for Understanding Data in the Behavioral Sciences introduces statistical concepts and procedures. Written in an accessible and engaging style, this self-instructional book makes good use of extensive examples and full explanations. This unique book includes seven or more exercises within each chapter to allow readers to check their comprehension of the material before moving on to the next section with answers in an appendix. The book introduces statistical inference (hypothesis-testing) using the Chi square test, which is easier to understand than the usual z test. It includes a unique final chapter that ties together earlier material, relates statistics to research, and introduces more advanced topics (i.e., meta-analysis, the general linear model). Finally, it provides demonstrations of simple sampling distributions (Chapter 4) and an intuitive approach to hypothesis-testing (Chapter 5). An essential reference book for any reader who needs a greater understanding of statistical procedures.

From the Back Cover

Statistics: Tools for Understanding Data in the Behavioral Sciences introduces statistical concepts and procedures. Written in an accessible and engaging style, this self-instructional book makes good use of extensive examples and full explanations. This unique book includes seven or more exercises within each chapter to allow readers to check their comprehension of the material before moving on to the next section with answers in an appendix. The book introduces statistical inference (hypothesis-testing) using the Chi square test, which is easier to understand than the usual z test. It includes a unique final chapter that ties together earlier material, relates statistics to research, and introduces more advanced topics (i.e., meta-analysis, the general linear model). Finally, it provides demonstrations of simple sampling distributions (Chapter 4) and an intuitive approach to hypothesis-testing (Chapter 5). An essential reference book for any reader who needs a greater understanding of statistical procedures.

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